Key Concepts

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Operations Guide

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Deployment Guide

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Key Concepts

Agent

Agent

Agent

definition


An AI Agent is an intelligent partner powered by Large Language Models (LLMs).

It understands user goals, makes its own decisions, and performs real tasks.


Agents can use memory to maintain conversational context and support chat-based testing, enabling human-like interactions.



Key Characteristics


  • Chat Interface Support: Interact and test directly through conversation

  • Intelligent Reasoning: Plans and chooses execution paths based on LLM capabilities

  • Memory Utilization: Stores information in short-term and long-term memory to maintain context

  • Workflow Extensibility: Combines with various nodes to implement complex automation scenarios



How Agents Are Used


AI Agents leverage their ability to converse naturally and understand context, making them highly versatile across domains.

  • As personalized conversational assistants, they can remember user requests and provide tailored responses.

  • In enterprise environments, they can support decision-making, automate customer support, and serve as intelligent response systems.


In short, an AI Agent acts as an autonomous, interactive partner that adapts to user goals and carries out tasks accordingly.